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--- |
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language: id |
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datasets: |
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- oscar |
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--- |
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# IndoBERT (Indonesian BERT Model) |
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## Model description |
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ELECTRA is a new method for self-supervised language representation learning. This repository contains the pre-trained Electra Base model (tensorflow 1.15.0) trained in a Large Indonesian corpus (~16GB of raw text | ~2B indonesian words). |
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IndoELECTRA is a pre-trained language model based on ELECTRA architecture for the Indonesian Language. |
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This model is base version which use electra-base config. |
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## Intended uses & limitations |
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#### How to use |
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```python |
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from transformers import AutoTokenizer, AutoModel |
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tokenizer = AutoTokenizer.from_pretrained("ChristopherA08/IndoELECTRA") |
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model = AutoModel.from_pretrained("ChristopherA08/IndoELECTRA") |
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tokenizer.encode("hai aku mau makan.") |
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[2, 8078, 1785, 2318, 1946, 18, 4] |
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``` |
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## Training procedure |
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The training of the model has been performed using Google's original Tensorflow code on eight core Google Cloud TPU v2. |
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We used a Google Cloud Storage bucket, for persistent storage of training data and models. |
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